My Project

I am passionate about solving real-world problems using data-driven approaches. My projects showcase my skills in Python for data analysis and automation, SQL for efficient data extraction and management, Machine Learning models for predictive insights, and Power BI for creating interactive dashboards and visualizations. Each project reflects my ability to work with data end-to-end — from collection and cleaning, to building models and presenting results in an intuitive way.

Explore my portfolio below to see how I leverage these technologies to deliver impactful solutions.

🎥 YouTube Data Harvesting & Analysis

Description: Built a system to extract, process, and analyze YouTube video/channel data using APIs.

Tools Used: Python, YouTube API, SQL, Pandas, Streamlit

Application: Helps content creators and marketers analyze engagement, performance trends, and optimize strategies.

View on GitHub

AI-Powered Email Classification & Notification System (n8n + Google Gemini + Telegram)

Problem Statement: Manual triaging of incoming emails was inefficient, leading to missed important communications and delayed responses..

Tools Used: n8n,Google API,Google Gemini AI,Telegram

Application:Built an AI-powered email classifier using n8n and Google Gemini, automating categorization of incoming emails and triggering Telegram alerts for high-priority messages. Reduced manual email review time by 70% while showcasing skills in machine learning integration, workflow automation, and real-time data pipelines.

View on GitHub

📱 PhonePe Data Visualization

Description: Built a Streamlit-based dashboard to visualize PhonePe digital payment transaction data.

Tools Used: Python, Streamlit, Plotly, Pandas

Application: Provides insights into transaction patterns, user adoption, and regional usage trends.

View on GitHub

🏠 Singapore Flat Price Prediction

Description: Developed a predictive model to estimate flat prices in Singapore based on location, size, and resale factors.

Tools Used: Python, Pandas, Scikit-Learn, Matplotlib, Seaborn

Application: Useful for buyers, sellers, and policymakers to understand housing price trends.

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🛒 Retail Sales Dashboard

Description: Interactive Power BI dashboard to track retail sales performance and KPIs.

Tools Used: Power BI

Application: Helps managers monitor revenue, identify best-selling products, and optimize inventory.

View on GitHub

🏨 Airbnb Dashboard

Description: Designed a Power BI dashboard to analyze Airbnb listing data including pricing, locations, and occupancy trends.

Tools Used: Power BI,Data Cleaning in Python

Application: Helps hosts and travelers understand market patterns and optimize pricing strategies.

View on GitHub